Detecting Phishing Websites using Automation of Human Behavior. - Routhu Srinivasa Rao; Alwyn R. Pais (CPSS@AsiaCCS, 2017)

An Enhanced Blacklist Method to Detect Phishing Websites. - Routhu Srinivasa Rao; Alwyn Roshan Pais (ICISS, 2017)

Kernel Modification APT Attack Detection in Android. - Ajay Anto; Routhu Srinivasa Rao; Alwyn Roshan Pais (SSCC, 2017)

Jail-Phish: An improved search engine based phishing detection system. - Routhu Srinivasa Rao; Alwyn Roshan Pais (Comput. Secur., 2019)

Detection of phishing websites using an efficient feature-based machine learning framework. - Routhu Srinivasa Rao; Alwyn Roshan Pais (Neural Comput. Appl., 2019)

PhishDump: A multi-model ensemble based technique for the detection of phishing sites in mobile devices. - Routhu Srinivasa Rao; Tatti Vaishnavi; Alwyn Roshan Pais (Pervasive Mob. Comput., 2019)

Two level filtering mechanism to detect phishing sites using lightweight visual similarity approach. - Routhu Srinivasa Rao; Alwyn Roshan Pais (J. Ambient Intell. Humaniz. Comput., 2020)

CatchPhish: detection of phishing websites by inspecting URLs. - Routhu Srinivasa Rao; Tatti Vaishnavi; Alwyn Roshan Pais (J. Ambient Intell. Humaniz. Comput., 2020)

A heuristic technique to detect phishing websites using TWSVM classifier. - Routhu Srinivasa Rao; Alwyn Roshan Pais; Pritam Anand (Neural Comput. Appl., 2021)

Stop-Phish: an intelligent phishing detection method using feature selection ensemble. - A. Venkata Ramana; K. Lakshmanarao; Routhu Srinivasa Rao (Soc. Netw. Anal. Min., 2021)

Multilayer Stacked Ensemble Learning Model to Detect Phishing Websites. - Lakshmana Rao Kalabarige; Routhu Srinivasa Rao; Ajith Abraham; Lubna Abdel Kareim Gabralla (IEEE Access, 2022)

Application of word embedding and machine learning in detecting phishing websites. - Routhu Srinivasa Rao; Amey Umarekar; Alwyn Roshan Pais (Telecommun. Syst., 2022)

A Boosting-Based Hybrid Feature Selection and Multi-Layer Stacked Ensemble Learning Model to Detect Phishing Websites. - Lakshmana Rao Kalabarige; Routhu Srinivasa Rao; Alwyn R. Pais; Lubna Abdel Kareim Gabralla (IEEE Access, 2023)

Logistic-map based fragile image watermarking scheme for tamper detection and localization. - Aditya Kumar Sahu; M. Hassaballah 001; Routhu Srinivasa Rao; Gulivindala Suresh (Multim. Tools Appl., 2023)

Machine learning models for phishing detection from TLS traffic. - Munish Kumar; Cheemaladinne Kondaiah; Alwyn Roshan Pais; Routhu Srinivasa Rao (Clust. Comput., 2023)

Boosting Pineapple Maturity Classification: Impact of Data Augmentation and Visual Transformer Integration With Transfer Learning. - Lakshmana Rao Kalabarige; A. Venkata Ramana; Routhu Srinivasa Rao; M. Raviraja Holla (IEEE Access, 2024)

Multimodal Imputation-Based Multimodal Autoencoder Framework for AQI Classification and Prediction of Indian Cities. - Routhu Srinivasa Rao; Lakshmana Rao Kalabarige; M. Raviraja Holla; Aditya Kumar Sahu (IEEE Access, 2024)

Multimodal imputation-based stacked ensemble for prediction and classification of air quality index in Indian cities. - Routhu Srinivasa Rao; Lakshmana Rao Kalabarige; Bhavya Alankar; Aditya Kumar Sahu (Comput. Electr. Eng., 2024)

Enhanced Malicious Traffic Detection in Encrypted Communication Using TLS Features and a Multi-class Classifier Ensemble. - Cheemaladinne Kondaiah; Alwyn Roshan Pais; Routhu Srinivasa Rao (J. Netw. Syst. Manag., 2024)

An ensemble learning approach for detecting phishing URLs in encrypted TLS traffic. - Cheemaladinne Kondaiah; Alwyn Roshan Pais; Routhu Srinivasa Rao (Telecommun. Syst., 2024)

Multi-level feature enhancement and dual attention mechanisms for improved osteoporosis diagnosis. - Routhu Srinivasa Rao; Muhammad Ishaq; Bumshik Lee (Neurocomputing, 2025)